The Future of Pandemic Modeling
A hundred years of modeling didn’t help forecast the extent of the current pandemic. Hundreds of thousands of deaths could have been prevented with better… Read More »The Future of Pandemic Modeling
Home » Technical Topics » Data Science
Data Science
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
SAP BW Data Mining Analytics: Clustering Reporting (Part 4, final)
Summary Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of… Read More »SAP BW Data Mining Analytics: Clustering Reporting (Part 4, final)
Do algorithms introduce bias or do they promote transparency?
Background Every industry will be affected by algorithms and algorithmic bias. But we could rethink this as Do algorithms introduce bias or do they… Read More »Do algorithms introduce bias or do they promote transparency?
Equivalence class clustering and bottom-up lattice traversal (ECLAT)
This article has been excerpted from my book, Models and Algorithms for Unlabelled Data. Next time you visit a nearby grocery store, look around inside… Read More »Equivalence class clustering and bottom-up lattice traversal (ECLAT)
Applications of Sentiment Analysis
What is Sentiment Analysis? Sentiment analysis can be defined as analyzing the positive or negative sentiment of the customer in text. The contextual analysis of… Read More »Applications of Sentiment Analysis
PyHard – A tool to assess dataset quality and identify hard-to-classify instances in general
Picture Courtesy: Freepik The article explains the algorithm behind the recently introduced Python package named PyHard, based on the concept of Instance Space Analysis. It… Read More »PyHard – A tool to assess dataset quality and identify hard-to-classify instances in general
Retail Predictive Analytics: Popular Use Cases
There was a time when brick-and-mortar stores were the only face of retail. The system worked well too and everyone seemed happy. That is until… Read More »Retail Predictive Analytics: Popular Use Cases
A Gentle Introduction to Non-Parametric Tests
What are Non-parametric tests? Most the statistical tests are optimal under various assumptions like independence, homoscedasticity or normality. However, it might not always be possible… Read More »A Gentle Introduction to Non-Parametric Tests
SAP BW Data Mining Analytics: Regression Reporting (Part 3)
Summary Regression analysis is one of the methods supplied built-in with SAP BW Data Mining. Based on this method regression models can be created and… Read More »SAP BW Data Mining Analytics: Regression Reporting (Part 3)
Optimizing and Accelerating COVID-19 Predictive Modeling
The COVID-19 pandemic has wreaked havoc across the globe. As of July 30, 2021, nearly 197.5 million people have been infected with coronavirus, and 4.2… Read More »Optimizing and Accelerating COVID-19 Predictive Modeling